本系统采取的方法是调用了OpenCV里面的函数cv2.Gaussian

The method adopted by this system is to call the function cv2.GaussianBlur() in OpenCV. The function needs to specify the width and height of the Gaussian kernel (must be odd) and the standard deviation of the Gaussian function along the X, Y directions. If only the standard deviation in the X direction is specified, the Y direction will also take the same value. If both standard deviations are 0, then the function calculates itself based on the size of the kernel function. Gaussian filtering can effectively remove Gaussian noise from images.

The method adopted by the system is to call the function CV2 in OpenCV GaussianBlur()。 The function needs to specify the width and height of the Gaussian kernel (must be odd) and the standard deviation of the Gaussian function along the X and Y directions. If only the standard deviation in the X direction is specified, the same value will be taken in the Y direction. If both standard deviations are 0, the function will calculate itself according to the size of the kernel function. Gaussian filtering can effectively remove Gaussian noise from the image.

The method adopted by this system is to call the function cv2.GaussianBlur () in OpenCV. This function needs to specify the width and height of Gaussian kernel (which must be odd numbers) and the standard deviation of Gaussian function along X, Y directions. If only the standard deviation in the x direction is specified, the same value will be taken in the y direction. If both standard deviations are 0, then the function will calculate itself according to the size of the kernel function. Gaussian filtering can effectively remove Gaussian noise from images.